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Grades Are Bugs, Jordan Freitas Jun 2025

Grades Are Bugs, Jordan Freitas

Computer Science Faculty Works

This paper argues that grades are bugs in our educational system, undermining desired behaviors and outcomes. Grades were introduced into higher education for purposes directly at odds with the goals of inclusive pedagogy today, as well as the neuroscience of human motivation and learning. Students enter computer science programs from increasingly varied backgrounds and experiences, and face a rapidly evolving landscape of prospective career paths while higher education costs in the United States are ever increasing. Computer science educators have a responsibility to adapt and carefully re-examine typical approaches to all aspects of the learning environments we build and curricula …


High-Frequency Impedance Spectroscopy: Measurement Reproducibility, Electromagnetic, And Ionic Effects In Cylindrical Lithium-Ion Cells, Matthew R. King, Paul T. Coman, Rafid Mollah, Md Rayhan Khan, Saranraj Karuppuswami, Taylor R. Garrick, Ralph E. White Jun 2025

High-Frequency Impedance Spectroscopy: Measurement Reproducibility, Electromagnetic, And Ionic Effects In Cylindrical Lithium-Ion Cells, Matthew R. King, Paul T. Coman, Rafid Mollah, Md Rayhan Khan, Saranraj Karuppuswami, Taylor R. Garrick, Ralph E. White

Faculty Publications

Accurate high-frequency electrochemical impedance spectroscopy (HF EIS) is critical for understanding lithium-ion battery (LIB) behavior under AC perturbations, relevant to electric vehicle systems and charging infrastructure. However, measurements at high frequencies are often distorted by external electromagnetic interference, poor contact quality, and wiring artifacts. This study investigates four experimental testbench configurations for HF EIS of cylindrical LIBs, highlighting the impact of contact resistance, Faraday shielding, wire twisting, and calibration. A coupled electrochemical-electromagnetic model is developed to isolate and analyze the skin effect and frequency-dependent electrolyte conductivity. Results show that spot-welded connections, twisted and shielded wiring, and calibration within a Faraday …


Grid Fragility, Blackouts, And Control Co-Design Solutions, Mario Garcia-Sanz Jun 2025

Grid Fragility, Blackouts, And Control Co-Design Solutions, Mario Garcia-Sanz

Faculty Scholarship

The grid is undergoing a large-scale transformation, including a significant reduction of synchronous generators, a high penetration of inverter-based resources and renewables, substantial demand growth, new extra-large loads, aging infrastructure and a concerning vulnerability to contingencies. Some of the recent massive blackouts in Spain/Portugal, Chile and Texas are exposing the fragility of the grid as we know it today. This paper introduces new solutions to stabilize the grid under undesired dynamic interactions and extreme contingencies, with the goal of avoiding cascading failures and blackouts. Using control co-design methodologies, the paper proposes three interdependent categories to improve the reliability and controllability …


3d Nano-Architected Polymer Shell Enables Reconfigurable Stabilized Blue Phase Soft Crystals, Sephideh Norouzi, Yazael R. Morales-Flores, Tadej Emersic, Jeremy Money, Otillo E. Rodriguez-Lopez, Andrew Casale, Juan J. De Pablo, Jose A. Martinez-Gonzalez, Monirosadat Sadati Jun 2025

3d Nano-Architected Polymer Shell Enables Reconfigurable Stabilized Blue Phase Soft Crystals, Sephideh Norouzi, Yazael R. Morales-Flores, Tadej Emersic, Jeremy Money, Otillo E. Rodriguez-Lopez, Andrew Casale, Juan J. De Pablo, Jose A. Martinez-Gonzalez, Monirosadat Sadati

Faculty Publications

Blue phases (BPs), formed through the self-assembly of chiral liquid crystal molecules into 3D nanolattices with cubic symmetries, exhibit dynamic photonic bandgaps in the visible spectrum, offering transformative opportunities for advanced optical circuits, sensing and communication technologies. However, their thermal stability is restricted to a narrow temperature range (0.5–1.0 K), limiting practical applications. Polymer stabilization of bulk BPs has extended thermal stability but often compromises the dynamic behavior essential for fast-response functionalities. Here, experimental and computational approaches are integrated to investigate the effect of curvature and interfacial interactions on BP polymer stabilization. It is demonstrated that photo-polymerization of reactive monomers …


Concepts For The Use Of Knowledge-Based Engineering In Intralogistics System Planning: Dynamic Layouting, Alexander Ortner-Pichler, Christian Landschützer Jun 2025

Concepts For The Use Of Knowledge-Based Engineering In Intralogistics System Planning: Dynamic Layouting, Alexander Ortner-Pichler, Christian Landschützer

International Material Handling Research Colloquium

No abstract provided.


Advances In Research On Noble Gas As Tracers Of Geofluids And Helium Enrichment, Gao Yu, Liu Quanyou, Zhu Dongya, Wu Xiaoqi, Li Pengpeng Jun 2025

Advances In Research On Noble Gas As Tracers Of Geofluids And Helium Enrichment, Gao Yu, Liu Quanyou, Zhu Dongya, Wu Xiaoqi, Li Pengpeng

Coal Geology & Exploration

Background Noble gases emerge as significant tools for tracing the sources and evolutionary processes of geofluids due to their chemical inertness and different isotopic compositions across varying reservoirs. Helium serves as a noble gas tracer and a scarce resource, and its enrichment mechanisms and exploration potential have attracted wide attention.Methods Based on a summary of the geochemical data of typical gas reservoirs, volcanic gases, and surface hot springs at home and abroad, this study analyzed the interfering factors and end-member value screening in the source apportionment of noble gases. Furthermore, it summarized the applications of noble gas isotopes in …


Ai-Driven Emi Mitigation For Smart Healthcare: Generative Adversarial Networks And Edge Computing For Reliable Medical Systems, Mona Esmaeili Jun 2025

Ai-Driven Emi Mitigation For Smart Healthcare: Generative Adversarial Networks And Edge Computing For Reliable Medical Systems, Mona Esmaeili

Electrical and Computer Engineering ETDs

Electromagnetic interference (EMI) from radio frequency (RF) sources poses a major challenge to digital systems, especially in high-electromagnetic environments. Tradi- tional electromagnetic compatibility (EMC) analysis often focuses on continuous wave (CW) interference and overlooks the effects of waveform modulation on EMI coupling. This thesis explores how modulated waveforms influence EMI coupling and introduces a Generative Adversarial Network (GAN)-based classification framework to distinguish between harmful and non-harmful EMI signals. The study extends conventional EMC analysis using machine learning (ML), showing that modulated EMI waveforms can in- crease coupling by up to 27% compared to CW signals. This highlights the need for …


Development Of Fiber Composite Joints To Improve Folding Of Deployable Arrays, Luke Q. Gardner Jun 2025

Development Of Fiber Composite Joints To Improve Folding Of Deployable Arrays, Luke Q. Gardner

Theses and Dissertations

An origami-inspired deployable array, despite being commonly made from rigid materials, must be able to fold into its stowed configuration. This necessitates the employment of discontinuities between the panels of the array and the use of specialized joints to connect them. Compliant joints, with all their typical advantages, are useful in this application. Membrane hinges and lamina-emergent torsional (LET) arrays are two classes of compliant joints, or surrogate folds, which each feature unique benefits and drawbacks. Membrane hinges in principle are simple and flexible, providing a wide range of motion while experiencing little stress. However, perhaps their most robust variation, …


A Review Of Plant–Microbe Interactions In The Rhizosphere And The Role Of Root Exudates In Microbiome Engineering, Anagha Wankhade, Emma Wilkinson, David W. Britt, Amita Kaundal Jun 2025

A Review Of Plant–Microbe Interactions In The Rhizosphere And The Role Of Root Exudates In Microbiome Engineering, Anagha Wankhade, Emma Wilkinson, David W. Britt, Amita Kaundal

Biological Engineering Student Research

Microbial interactions within the rhizosphere are fundamental to plant health, influencing nutrient availability, stress tolerance, and pathogen resistance. Beneficial microbes, such as plant growth-promoting microbes (PGPMs), including bacteria and mycorrhizal fungi, enhance plant resilience through mechanisms like nutrient solubilization, phytohormone production, and pathogen suppression via antimicrobial compounds and siderophores. Root exudates, composed of sugars, organic acids, and secondary metabolites, act as chemoattractants that shape the rhizosphere microbiome by recruiting beneficial microbes. Microbial metabolites can, in turn, modulate plant physiology and exudate profiles, thereby reinforcing mutualistic interactions. Stress conditions alter exudate composition, enabling plants to attract specific microbes that aid in …


Mechanisms Underlying Differential Helium Enrichment In Shale Gas Of Varying Structural Styles In The Southeastern Sichuan Basin, Xin Zhiyuan, Chen Jianfa, Wang Jie, Ma Yong Jun 2025

Mechanisms Underlying Differential Helium Enrichment In Shale Gas Of Varying Structural Styles In The Southeastern Sichuan Basin, Xin Zhiyuan, Chen Jianfa, Wang Jie, Ma Yong

Coal Geology & Exploration

Objective Shale gas reservoirs hold considerable helium reserves despite relatively low helium abundance, establishing them as a critical replacement for helium production growth. The southeastern Sichuan Basin exhibits diverse structural styles with varying preservation conditions, leading to an unclear understanding of the distribution characteristics and enrichment patterns of helium in shale gas. Determining the mechanisms behind the differential helium enrichment in shale gas is significant for the effective utilization of helium in shale gas.Methods Focusing on the typical shale gas reservoirs of different structural styles in the southeastern Sichuan Basin, this study explored the mechanisms underlying differential helium accumulation …


Physical Simulation Experiments On Competitive Dissolution Of Helium In Helium-Containing To Helium-Rich Gas Reservoirs, Zou Yi, Luo Qingyong, Chen Jianfa, Zou Huayao, Du Tao, Liu Xiaoqiang, Cai Xinyong, Yu Chengming, Fang Zilong Jun 2025

Physical Simulation Experiments On Competitive Dissolution Of Helium In Helium-Containing To Helium-Rich Gas Reservoirs, Zou Yi, Luo Qingyong, Chen Jianfa, Zou Huayao, Du Tao, Liu Xiaoqiang, Cai Xinyong, Yu Chengming, Fang Zilong

Coal Geology & Exploration

Background and Purpose Helium is widely applied in high-tech and scientific research fields due to its unique physicochemical properties. Formation water plays a key role in helium migration and enrichment. Typically, in the form of dissolved gas, helium is transported in pores or fractures by formation water. When helium-rich fluids migrate to shallow natural gas reservoirs, helium will experience dissolution and desorption exchange with other gases. This process is affected by formation temperature, pressure, and water salinity, as well as the competitive dissolution between helium and other gases. However, there is a lack of studies on the mechanisms underlying the …


Resource Potential And Extraction Technique Design For Helium In Coal Measures, Wang Lei, Tang Maoyin Jun 2025

Resource Potential And Extraction Technique Design For Helium In Coal Measures, Wang Lei, Tang Maoyin

Coal Geology & Exploration

Back ground Helium is an important strategic scarce resource. Presently, helium used in industry originates primarily from natural gas. In contrast, helium in coal measures, generally emerging as coalbed methane (CBM) with a high helium content, serves as a vital supplement to conventional helium resources. In industry, helium extraction from boil off gas (BOG) during natural gas liquefaction is recognized as an important way to obtain helium resources. However, existing studies on helium in coal measures mostly focus on the genesis, enrichment patterns, and geochemical characteristics of helium, while there is a lack of studies on its resource characteristics and …


Effectiveness Assessment And Spatial Distribution Characteristics Of Helium Source Rocks In The Shixi Block Along The Eastern Margin Of The Ordos Basin, Chang Yangmei, Liu Chao, Sun Beilei Jun 2025

Effectiveness Assessment And Spatial Distribution Characteristics Of Helium Source Rocks In The Shixi Block Along The Eastern Margin Of The Ordos Basin, Chang Yangmei, Liu Chao, Sun Beilei

Coal Geology & Exploration

Background Helium gas serves as a significant rare strategic resource. In China, helium resources are relatively scarce and dependent heavily on imports. Therefore, there is a pressing need for the exploration and exploitation of helium resources. Helium source rocks provide a material basis for the formation of helium resources. The Zijinshan pluton serves as a principal source of coal-measure helium along the eastern margin of the Ordos Basin. Previous studies reveal that helium in natural gas within the Shixi Block originates primarily from the decay of radioactive elements in the deep part of the Jianjiagou-Zijinshan plutons. However, there is a …


Quantifying Adversary Military Forces’ Susceptibility To Cognitive Attacks, Bonnie Rushing, Cole Nelson, Shouhuai Xu, Christofer “Raven” O’Keefe, Olga Karpoyan Jun 2025

Quantifying Adversary Military Forces’ Susceptibility To Cognitive Attacks, Bonnie Rushing, Cole Nelson, Shouhuai Xu, Christofer “Raven” O’Keefe, Olga Karpoyan

Military Cyber Affairs

This paper introduces a method to quantify international populations’ susceptibility to cyber cognitive attacks using press freedom and media trust metrics. We present the Cognitive Influence Calculator, a tool that estimates susceptibility (𝑆) based on Press Freedom Scores (PFS) and media trust levels. Findings show that while authoritarian regimes are harder to reach, successful cognitive attacks have greater impacts due to higher trust in state-controlled narratives. Using U.S. wargaming data and international trust metrics, we compute susceptibility scores for the U.S., Russia, China, Iran, and North Korea. Results show an inverse relationship between PFS and media susceptibility, with local/allied …


Understanding Russia’S Cyber Policies, Strategies, And Doctrines, Bryan Hancock, Hanh Nguyen, Olga Karpoyan, Ekzhin Ear, Shouhuai Xu Jun 2025

Understanding Russia’S Cyber Policies, Strategies, And Doctrines, Bryan Hancock, Hanh Nguyen, Olga Karpoyan, Ekzhin Ear, Shouhuai Xu

Military Cyber Affairs

This study analyzes the strengths and weaknesses of Russia’s cyber policies, strategies, and doctrines through a systematic set of attributes, leading to key insights: (i) Russia has proactively adapted its cyber policies, strategies, and doctrines to its evolving environment; (ii) Russia actively conducts cognitive warfare, but remains equally vulnerable to it; and (iii) Russia’s cyber posture faces significant challenges, including a limited technological base, shortage of skilled personnel, and restrictive approach to information control, all of which undermine the effectiveness of its strategies. These insights offer valuable implications for US Cyber Command and the Department of Defense.


High Field Performance Of Si-Doped N-Aln Layers Grown Using Pulsed Mocvd, Abdullah Al Mamun Mazumder, Tariq Jamil, Mafruda Rahman, Muhammad Ali, Grigory Simin, Asif Khan Jun 2025

High Field Performance Of Si-Doped N-Aln Layers Grown Using Pulsed Mocvd, Abdullah Al Mamun Mazumder, Tariq Jamil, Mafruda Rahman, Muhammad Ali, Grigory Simin, Asif Khan

Faculty Publications

We report on the study of high-field performance of Si-doped n-AlN layers that were grown using a pulsed metalorganic chemical vapor deposition (PMOCVD) process. In the past we showed this pulsed doping approach to lead to doping efficiency superior to that in the conventional MOCVD process. Here using them as the drift layer for a quasi-vertical conduction Schottky barrier, we show their ability to withstand high reverse bias voltages and sustain an electrical field as high as 9.9 MV cm−1. Our study thus demonstrates the viability of the PMOCVD growth and doping approach to yield n-AlN layers suitable …


Comparative Study On Differences In Asphalt Pavement Design Between China And Southern Africa, Wang Qing, Lin Yangyang, Yan Hongxiang, Zhao Bin, Xia Moxuan, Li Ning, Si Wei Jun 2025

Comparative Study On Differences In Asphalt Pavement Design Between China And Southern Africa, Wang Qing, Lin Yangyang, Yan Hongxiang, Zhao Bin, Xia Moxuan, Li Ning, Si Wei

Journal of China & Foreign Highway

To facilitate the successful implementation of projects in the Southern Africa region and promote the application and internationalization of China ’s standards,this study compared the asphalt pavement design systems,construction materials,design parameters,and structural design methods of both regions based on the main asphalt pavement design specifications currently in use in China and Southern Africa.The results show that among Southern African countries,South Africa has a comprehensive and widely applied standard system,while other Southern African countries adopt more varied and less theoretical standards.In contrast,China ’s standard system is complete and highly practical.Due to differences in regional climates,the selection principles and mechanical requirements for …


Next-Generation Biomaterials For Load-Bearing Tissue Interfaces: Sensor-Integrated Scaffolds And Mechanoadaptive Constructs For Skeletal Regeneration, Rahul Kumar, Kyle Sporn, Pranay Prabhakar, Phani Paladugu, Akshay Khanna, Alex Ngo, Chirag Gowda, Ethan Waisberg, Ram Jagadeesan, Nasif Zaman, Alireza Tavakkoli Jun 2025

Next-Generation Biomaterials For Load-Bearing Tissue Interfaces: Sensor-Integrated Scaffolds And Mechanoadaptive Constructs For Skeletal Regeneration, Rahul Kumar, Kyle Sporn, Pranay Prabhakar, Phani Paladugu, Akshay Khanna, Alex Ngo, Chirag Gowda, Ethan Waisberg, Ram Jagadeesan, Nasif Zaman, Alireza Tavakkoli

SKMC Student Presentations and Publications

Advancements in load-bearing tissue repair increasingly demand biomaterials that not only support structural integrity but also interact dynamically with the physiological environment. This review examines the latest progress in smart biomaterials designed for skeletal reconstruction, with emphasis on mechanoresponsive scaffolds, bioactive composites, and integrated microsensors for real-time monitoring. We explore material formulations that enhance osseointegration, resist micromotion-induced loosening, and modulate inflammatory responses at the bone-implant interface. Additionally, we assess novel fabrication methods-such as additive manufacturing and gradient-based material deposition-for tailoring stiffness, porosity, and degradation profiles to match host biomechanics. Special attention is given to sensor-augmented platforms capable of detecting mechanical …


Contaminant Removal Of Printed 7xxx Aluminum Using The Additive Friction Stir Deposition Process, Jacob Jason Hansen Jun 2025

Contaminant Removal Of Printed 7xxx Aluminum Using The Additive Friction Stir Deposition Process, Jacob Jason Hansen

Theses and Dissertations

The development of contaminant-free additive friction stir deposition (AFSD) using 7xxx series aluminum alloys represents a significant advancement in solid-state additive manufacturing. The removal of graphite and other contaminants allows AFSD to more effectively move forward into the production space. This work demonstrates how contaminant-free depositions were made more feasible. This was accomplished via novel tool designs. These novel designs reduced process forces sufficiently that 7xxx aluminum alloys were able to be printed on commercial and research AFSD machines. Internal features such as draft angles and diffusers/chamfers help to significantly reduce actuator forces. This work also demonstrates how external tool …


Microscopic Nucleic Acid-To-Protein Ratio: A Label-Free Approach For Pancreatic Cancer Detection, Sky Gao, Keerthi Priya Jangili, Alfred Akinlalu, Emmanuel Ogberefor, Tommy Gao, Kalpana Devaraj, Dali Sun Jun 2025

Microscopic Nucleic Acid-To-Protein Ratio: A Label-Free Approach For Pancreatic Cancer Detection, Sky Gao, Keerthi Priya Jangili, Alfred Akinlalu, Emmanuel Ogberefor, Tommy Gao, Kalpana Devaraj, Dali Sun

Electrical and Computer Engineering: Faculty Scholarship

Accurate and timely diagnosis remains a major clinical challenge, hindered by the limitations of conventional histopathological methods, which often rely on labor-intensive staining protocols and subjective interpretation by specialized pathologists. These methods can fail to capture the full molecular and phenotypic heterogeneity of tumors, leading to increased diagnostic time, cost, and variability. To overcome these challenges, we developed a novel label-free ultraviolet (UV) microscopic imaging technique that exploits the intrinsic optical absorption properties of cellular nucleic acids and proteins. By modifying standard brightfield microscopes, our approach quantitatively measures the nucleic acid-to-protein ratio (NPr), enabling high-resolution visualization and discrimination between malignant …


Understanding The Effects Of Binder Dissolution Dynamics On The Chemistry And Performance Of Lithium–Sulfur Batteries, Saheed A. Lateef, John Chmiola, Fabio Albano, William E. Mustain, Golareh Jalilvand Jun 2025

Understanding The Effects Of Binder Dissolution Dynamics On The Chemistry And Performance Of Lithium–Sulfur Batteries, Saheed A. Lateef, John Chmiola, Fabio Albano, William E. Mustain, Golareh Jalilvand

Faculty Publications

Lithium–sulfur batteries (LSBs) are promising next-generation energy storage devices due to their higher theoretical specific energy and lower cost compared to conventional Lithium-ion batteries. However, their practical implementation has been hindered by severe performance degradation during extended cycling, primarily driven by shuttling of soluble sulfur discharge products (polysulfides) between the cathode and anode leading to capacity loss. In this work, we investigate the impact of selected binders and solvents, highlighting the effect of the dissolution process of the binder in solvent, on the structural properties and electrochemical performance of sulfur cathode. It is demonstrated for a variety of binders that …


Harnessing Generative Ai And Large Language Models For Revolutionizing Cybersecurity In The Internet Of Things: Ethical And Privacy Implications, Harsha Sammangi, Aditya Jagatha, Jun Liu Jun 2025

Harnessing Generative Ai And Large Language Models For Revolutionizing Cybersecurity In The Internet Of Things: Ethical And Privacy Implications, Harsha Sammangi, Aditya Jagatha, Jun Liu

Research & Publications

Generative artificial intelligence (AI) and large language models (LLMs) have in- troduced transformative capabilities in cybersecurity, particularly in securing Internet of Things (IoT) environments. These technologies can synthesize vast datasets, support real-time anomaly detection, and generate predictive insights through simple prompts. However, their deployment also presents ethical and privacy-related concerns, including algorithmic bias, data leakage, and misuse for malicious content creation. This paper conducts a systematic literature review to evaluate how LLMs and generative AI contribute to IoT cybersecurity. We propose an ethical AI-IoT security framework, examine key challenges, and offer recommendations for integrating responsible AI governance. We aim to …


Cst110.1 Analysing Everyday Interfaces Example 1, Sae University College Jun 2025

Cst110.1 Analysing Everyday Interfaces Example 1, Sae University College

Exemplars

A Case Study on MyTime Interface analysing the usability of it.


Cst110.1 Analysing Everyday Interfaces Example 2, Sae University College Jun 2025

Cst110.1 Analysing Everyday Interfaces Example 2, Sae University College

Exemplars

A Case Study on usability analysis of the Apple iOS fitness app.


Modeling And Estimation Of Co2 Capture By Porous Liquids Through Machine Learning, Farid Amirkhani, Amir Dashti, Hossein Abedsoltan, Amir H. Mohammadi, John L. Zhou, Ali Altaee Jun 2025

Modeling And Estimation Of Co2 Capture By Porous Liquids Through Machine Learning, Farid Amirkhani, Amir Dashti, Hossein Abedsoltan, Amir H. Mohammadi, John L. Zhou, Ali Altaee

Chemical and Biochemical Engineering Faculty Research & Creative Works

Porous liquids (PLs) are newly developed porous materials that combine unique fluidity with permanent porosity, which exhibit promising functionalities. They have shown ability to efficiently absorb greenhouse gases such as carbon dioxide (CO2). Experimental measurement is one approach to determining the solubility of various greenhouse gases in PLs, which has drawbacks such as being expensive and time-consuming. Hence, simulation models are valuable to predict the solubility of CO2 in various PLs. This work aims to develop machine learning (ML) modeling methods for accurately estimating CO2 solubility under varying conditions (e.g. PLs, temperature, pressure). Adaptive Neuro-Fuzzy Inference …


Context-Switch Attacks: Understanding And Mitigating The Threat To Llm Applications, Sydney Holder, Bivin Sadler Jun 2025

Context-Switch Attacks: Understanding And Mitigating The Threat To Llm Applications, Sydney Holder, Bivin Sadler

SMU Data Science Review

Large Language Models (LLMs) are transforming conversational AI, yet their dependence on prompt-supplied context exposes them to context-switch attacks that covertly steer dialogue toward sensitive or malicious ends. A 70 one-sided conversation transcript evaluation set was constructed spanning various fraudulent scenarios. Each transcript embeds adversarial patterns drawn while preserving natural conversational flow. We introduce a hybrid defense that pairs a BERT-based semantic-drift detector (cosine-similarity threshold = 0.70) with a curated keyword and hack-phrase scanner to counter these threats. In aggregate, the system delivered 100 % recall, intercepting every simulated phishing or data-harvesting attempt. The keyword layer achieved perfect precision, generating …


Enhancing Fault Tolerance In Tmr Soft Risc-V Fpga Socs Through Failure-Driven Mitigation Strategies, Andrew Elbert Wilson Jun 2025

Enhancing Fault Tolerance In Tmr Soft Risc-V Fpga Socs Through Failure-Driven Mitigation Strategies, Andrew Elbert Wilson

Theses and Dissertations

Field-Programmable Gate Arrays (FPGAs) leveraging soft processors, particularly those implementing the open-standard RISC-V Instruction Set Architecture (ISA), are increasingly important for space missions due to their adaptability and reconfigurability. However, their susceptibility to radiation-induced Single Event Upsets (SEUs) presents significant reliability challenges, necessitating robust fault-tolerant strategies such as Triple Modular Redundancy (TMR). This dissertation evaluates the effectiveness of TMR-based mitigation techniques for Linux-capable soft RISC-V System-on-Chip (SoC) implementations deployed on SRAM-based FPGAs operating in high-radiation environments. Using a combination of deterministic fault injection and neutron radiation testing, this work identifies critical residual single-point failure modes that persist in TMR-protected designs. …


Development Of A Near Terahertz Backward Wave Oscillator Using Standard Waveguide, Alexander Glick Jun 2025

Development Of A Near Terahertz Backward Wave Oscillator Using Standard Waveguide, Alexander Glick

Electrical and Computer Engineering ETDs

There is a demand for terahertz (THz) frequency radiation sources. Applications include, but are not limited to, imaging for medical and security purposes, biochemical and organic spectroscopy, and velocimetry. Historically, there was a limited supply of THz devices due to technological limitations. In recent years much progress has been made to reduce this “gap” in supply and demand for THz sources. This work proposes a vacuum electronic device that produces high power, extremely high frequency radiation in the G-band, by utilizing a backward wave oscillator (BWO) based on WR3 standard waveguide. This device is compact, fundamentally simple, and has great …


Ex Vivo And Simulation Comparison Of Leakage In End-To-End Versus End-To-Side Anastomosed Porcine Large Intestine, Youssef Fahmy, Mohamed Trabia, Brian Ward, Lucas Gallup, Whitney Elks Jun 2025

Ex Vivo And Simulation Comparison Of Leakage In End-To-End Versus End-To-Side Anastomosed Porcine Large Intestine, Youssef Fahmy, Mohamed Trabia, Brian Ward, Lucas Gallup, Whitney Elks

Mechanical Engineering Faculty Research

Anastomotic leaks after colorectal resection are serious surgical complications. We have compared the integrity of two common colorectal anastomosis techniques, end-to-side (ES) and end-to-end (EE), to control specimens using a novel experimental setup that mimics anastomotic air leak tests, which are typically performed during surgeries. Freshly harvested porcine colonic sections from 23 F1 cross-species pigs were used. Pressure measurements and video imaging were used to monitor the ex vivo experiments on EE, ES, and Control specimens. Using EE (n = 16), ES (n = 12), and Control (n = 22) specimens, leak pressure was 282.6 ± 3.0 mm Hg for …


Emt Vision, Logan Calder, Grant Johnson, John Alvarado, Jack Landers Jun 2025

Emt Vision, Logan Calder, Grant Johnson, John Alvarado, Jack Landers

Computer Science and Engineering Senior Theses

Augmented Reality (AR) has demonstrated considerable promise for future mobile technologies, offering the ability to overlay crucial information within a user’s vision while they can still maintain awareness of the surrounding environment. Similarly, Artificial Intelligence (AI) is an increasingly influential technology with significant potential to revolutionize the medical field. Its ability to rapidly learn and adapt to specific tasks makes it particularly promising for supporting paramedics during emergency calls. AI can efficiently analyze real-time data and present it in a concise, actionable format, enhancing decision making in critical situations.

Given the potential of these technologies, we have developed a smart …